| 2024 | CHI | Investigating the Potential of User Interface Shortcuts and Control Panes to Support Mobile Phone Use by People with Mild Dementia - a Diary Study. | Emma Dixon, Xiang Xiao, Rain Breaw Michaels, Yu Zhong, Ajit Narayanan, Erin Buehler |
| 2023 | IVCNZ | Semi-Supervised Deep Learning for Estimating Fur Seal Numbers. | Rujia Chen, Akbar Ghobakhlou, Ajit Narayanan, Matas Prez, Roberto Orlano Chavez Oyanadel, Renato Borras-Chavez |
| 2022 | ASSETS | Mobile Phone Use by People with Mild to Moderate Dementia: Uncovering Challenges and Identifying Opportunities: Mobile Phone Use by People with Mild to Moderate Dementia. | Emma Dixon, Rain Michaels, Xiang Xiao, Yu Zhong, Patrick Clary, Ajit Narayanan, Robin N. Brewer, Amanda Lazar |
| 2022 | ASSETS | LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia. | Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris |
| 2022 | NAACL | Context-Aware Abbreviation Expansion Using Large Language Models. | Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner |
| 2021 | IVCNZ | 3D Vehicle Detection Using Cheap LiDAR and Camera Sensors. | Sabeeha Mehtab, Wei Qi Yan, Ajit Narayanan |
| 2020 | ASSETS | Action Blocks: Making Mobile Technology Accessible for People with Cognitive Disabilities. | Lia Carrari, Rain Michaels, Ajit Narayanan, Lei Shi, Xiang Xiao |
| 2020 | ICPR | Dual Stream Network with Selective Optimization for Skin Disease Recognition in Consumer Grade Images. | Krishnam Gupta, Jaiprasad, Monu Krishnan, Ajit Narayanan, Nikhil S. Narayan |
| 2017 | IVCNZ | Image phylogeny for simulating multiple print-scan. | Abhimanyu Singh Garhwal, Wei Qi Yan, Ajit Narayanan |
| 2016 | CEC | Using different substitution matrices in a string-matching technique for identifying viral polymorphic malware variants. | Vijay Naidu, Ajit Narayanan |
| 2016 | DASC | Needleman-Wunsch and Smith-Waterman Algorithms for Identifying Viral Polymorphic Malware Variants. | Vijay Naidu, Ajit Narayanan |
| 2015 | ICCCI | Artificial Immune System: An Effective Way to Reduce Model Overfitting. | Waseem Ahmad, Ajit Narayanan |
| 2014 | ICNC | Further experiments in biocomputational structural analysis of malware. | Vijay Naidu, Ajit Narayanan |
| 2014 | ICNC | An evolutionary computational approach to phase and synchronization in biological circuits. | Ajit Narayanan, Edward C. Keedwell |
| 2014 | ICNC | Solving capacitated vehicle routing problem using intelligent water drops algorithm. | Ahmad F. Wedyan, Ajit Narayanan |
| 2014 | PRIMA | Intelligent Collision Avoidance between Autonomous Agents Using Adaptive Local Views. | Fan Liu, Ajit Narayanan |
| 2013 | PRIMA | A Human-Inspired Collision Avoidance Method for Multi-robot and Mobile Autonomous Robots. | Fan Liu, Ajit Narayanan |
| 2012 | AAMAS | Effective methods for generating collision free paths for multiple robots based on collision type (demonstration). | Fan Liu, Ajit Narayanan, Quan Bai |
| 2012 | AINA | Malicioius Software Detection Using Multiple Sequence Alignment and Data Mining. | Yi Chen, Ajit Narayanan, Shaoning Pang, Ban Tao |
| 2012 | CIS | The Effects of Different Representations on Malware Motif Identification. | Ajit Narayanan, Yi Chen, Shaoning Pang, Ban Tao |
| 2012 | ICNC | Multiple sequence alignment and artificial neural networks for malicious software detection. | Yi Chen, Ajit Narayanan, Shaoning Pang, Ban Tao |
| 2011 | ICNC | Quantum jump clustering. | Waseem Ahmad, Ajit Narayanan, Muhammad Anjum Javeed |
| 2011 | ICNC | A cellular automaton framework for within-field vineyard variance and grape production simulation. | Subana Shanmuganathan, Ajit Narayanan, Nick Robison |
| 2007 | GECCO | Gene finding and rule discovery with a multi-objective neural-genetic hybrid. | Ed Keedwell, Ajit Narayanan |
| 2005 | CIBCB | Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets. | Thorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan |
| 2004 | CIBCB | Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks. | Ajit Narayanan, Evangelia Nana, Ed Keedwell |
| 2002 | ISMB | Mining viral protease data to extract cleavage knowledge. | Ajit Narayanan, Xikun Wu, Zheng Rong Yang |
| 2000 | CEC | Evolving rules from neural networks trained on continuous data. | Ed Keedwell, Ajit Narayanan, Dragan A. Savic |
| 2000 | ICTAI | From data mining to rule refining A new tool for post data mining rule optimisation. | Ed Keedwell, Florian Bessler, Ajit Narayanan, Dragan A. Savic |
| 1999 | CEC | Quantum computing for beginners. | Ajit Narayanan |
| 1996 | ICEC | Quantum Inspired Genetic Algorithms. | Ajit Narayanan, Mark Moore |
| 1993 | EACL | On Abstract Finite-State Morphology. | Ajit Narayanan, Lama Hashem |